Triple
T729699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Beach–JFK Airport station |
E14803
|
entity |
| Predicate | division |
P889
|
FINISHED |
| Object | IND |
E79364
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: IND | Statement: [Howard Beach–JFK Airport station, division, IND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IND Context triple: [Howard Beach–JFK Airport station, division, IND]
-
A.
IND
IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
-
B.
IND
chosen
IND (Independent Subway System) was New York City's municipally built and operated subway network that later became one of the three major divisions of the unified NYC Subway.
-
C.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
D.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
E.
INA
INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c290e481908497430a05dbfb90 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6375e24248190b53efa0bfc29567a |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:37 p.m.